Techani: Use of technology as an ally in the management, monitoring, and control of Type 1 diabetes mellitus.
DOI:
https://doi.org/10.17488/RMIB.47.2.1559Keywords:
Adherence to prescribed treatment in Diabetes, Type 1 Diabetes, M-health, Diabetes Monitoring and control, Carbohydrate CountingAbstract
Type 1 Diabetes Mellitus (T1DM) is an autoimmune, unpreventable, and incurable disease in which insulin production ceases due to pancreatic beta-cell destruction. This work presents Techani, a web and mobile system designed to enhance treatment adherence and patient monitoring through a culturally adapted interface tailored to the Mexican context. The system integrates Artificial Intelligence tools and incorporates a broader range of variables than current applications, including mood, hydration, sleep, and atypical days, in addition to traditional clinical data. A mixed-methodology approach combining Scrum, UI/UX design, and empirical data collection through physician surveys was used to identify relevant determinants of glycemic control. The proposed system aims to strengthen patient autonomy, facilitate physician follow-up, and improve adherence by automating carbohydrate counting using the Mexican Food Equivalents System (SMAE). Compared to existing mHealth tools, Techani increases the number of monitored variables by more than 40% and enables potential data integration for predictive glucose modeling. Limitations include manual data entry and a small convenience sample for usability testing. Future validation studies will evaluate its clinical impact on glycemic control and treatment adherence, and integration with CGM data to assess its clinical impact on glycemic control.
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